Automatically recommending healthy living programs to patients with chronic diseases through hybrid content-based and collaborative filtering

Author

Yizhou Zang ; Yuan An ; Hu, Xiaohua Tony

Author_Institution

Coll. of Comput. & Inf., Drexel Univ., Philadelphia, PA, USA

fYear

2014

fDate

2-5 Nov. 2014

Firstpage

578

Lastpage

582

Abstract

In this research, we develop a hybrid recommendation system for healthy living programs to patients with chronic diseases. Our experiments indicate that our model compared favorably against other real-world recommendation applications in terms of accuracy. We also demonstrated that the proposed hybrid algorithm performed better than traditional CF in terms of error rate, precision and recall.

Keywords

assisted living; collaborative filtering; content-based retrieval; patient care; patient monitoring; chronic diseases; chronically-ill patients; collaborative filtering error rate; collaborative filtering precision; collaborative filtering recall; healthy living programs; hybdrid recommendation system; hybrid algorithm; hybrid content-based filtering error rate; hybrid content-based filtering precision; hybrid content-based filtering recall; hybrid recommendation model; real-world recommendation applications; traditional collaborative filtering; Accuracy; Collaboration; Diseases; Filtering; Measurement; Standards; EMR; Healthy Living Program; chronic dieseases; collaborative filtering; hybrid;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on

Conference_Location

Belfast

Type

conf

DOI

10.1109/BIBM.2014.6999224

Filename

6999224